Humza Akhtar, Brian Freeman · 2026 · arXiv
DOI: 10.48550/arXiv.2610.31553 · open-access PDF
Organisasi industri memegang pengetahuan operasional dalam catatan terstruktur, seperti telemetri, daftar titik, dan transaksi, dan dalam sumber yang tidak terstruktur, seperti manual, catatan layanan, komunikasi, dan laporan inspeksi. Program pemerintahan sering mengelola sumber-sumber ini secara terpisah. Mengklasifikasikan, menghubungkan, dan mendokumentasikan mereka tergantung pada sekelompok kecil karyawan dengan pengetahuan domain yang mendalam. Agen yang dibangun pada model bahasa besar dapat mengusulkan metadata, mengutip dokumen, dan masalah kualitas bendera, tetapi proposal yang tidak diulas dapat menyebarkan kesalahan ke dalam sistem downstream.
Machine translation (Meta M2M100); the English original follows.
Industrial organizations hold operational knowledge in structured records, such as telemetry, point lists, and transactions, and in unstructured sources, such as manuals, service notes, communications, and inspection reports. Governance programs often manage these sources separately. Classifying, linking, and documenting them depends on a small group of employees with deep domain knowledge. Agents built on large language models can propose metadata, cite documents, and flag quality issues, but unreviewed proposals can spread errors into downstream systems. A perfunctory approval leaves no reco
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